code: def _aio_handle_tasklet(pool_params):
      args, tid, read_op = pool_params
  
      # Create schedule
      schedule = get_schedule(args, read_op)
      task_log(tid, f"schedule = {schedule}")
      task_barrier(aio_barrier, args.threads)
  
      # Run pre task
      task_log(tid, f"running pre-task")
      ctxt = schedule["pre"]((args, tid))
      task_barrier(aio_barrier, args.threads)
  
      # Run main tasks in a loop
      ctxt["main_task_sec"] = 0
      for i in range(args.loops):
          task_log(tid, f"running main task {i}")
          start_time = time.time()
          ctxt = schedule["main"]((args, tid, ctxt))
          task_barrier(aio_barrier, args.threads)
          stop_time = time.time()
          ctxt["main_task_sec"] += stop_time - start_time
  
      # Run post task
      task_log(tid, f"running post-task")
      ctxt = schedule["post"]((args, tid, ctxt))
      task_barrier(aio_barrier, args.threads)
  
      return (
          ctxt["main_task_sec"],
          ctxt["elapsed_sec"],
          ctxt["num_bytes"] * args.loops,
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/csrc/aio/py_test/ds_aio_handle.py
imports: import torch
  import os
  import time
  from multiprocessing import Pool, Barrier
  from deepspeed.ops.aio import AsyncIOBuilder
  from test_ds_aio_utils import report_results, task_log, task_barrier
label_desc: Use image node_id 10 for calling a global function with example usage: _aio_handle_tasklet(pool_params) and returns: ctxt,  ctxt,  unknown